International Business Machines Corporation

Daniel T Lambert

Norbert Herman

Karl J Cama

Philip A Westcott

Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.

Data clustering and user modeling for next-best-action decisions

A method and system for analyzing customer feedback is provided. The method includes accessing a keyword and word mapping database and receiving consumer feedback data associated with a product or service. The consumer feedback data includes feedback data groups. Each group is divided into segments based on word analysis. Each segment is analyzed with respect to the keyword and thesaurus database. A score is generated for each segment and a composite score is generated for each feedback data group. Each composite score is stored.

Customer feedback analyzer

The disclosure is directed to written content generation. A method for generating written content in an application in accordance with an embodiment includes: receiving a query from a user; importing data from at least one data source in response to the query; ranking the imported data based on a plurality of ranking factors to determine a relevance of the imported data; automatically generating written content using at least a portion of the imported data based on the determined relevance of the imported data; and automatically customizing the written content based on a file format of the application.

Generating written content from knowledge management systems

Various embodiments include a system having: at least one computing device configured to monitor a motor vehicle traffic pattern by performing actions including: obtaining telecommunications data from a plurality of mobile devices within a hyper-local area over a hyper-local period; identifying a set of mobile devices within the plurality of mobile devices travelling by motor vehicle from the telecommunications data; determining the motor vehicle traffic pattern based upon the telecommunications data from the set of mobile devices traveling by motor vehicle; comparing the determined motor vehicle traffic pattern with a threshold motor vehicle traffic pattern; and providing instructions for modifying at least one traffic signal device in response to the determined motor vehicle traffic pattern deviating from the threshold motor vehicle traffic pattern.

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Manhattan, NY, United States of America

Daniel T Lambert